Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3A36633411935274437C6D530A55B3BE2E7994FFAA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:dUf3Lz4NP/y9svbliCdBTgVFtWAuCa2nX2ZP4:KmA6TF4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3439739bc3cccc4 |
|
VISUAL
aHash
|
002030000000ffff |
|
VISUAL
dHash
|
dcc9c4ccc8c8cc00 |
|
VISUAL
wHash
|
027c7c206060ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
cc0048200134b080,d4c9c8e4c8c8c8cc |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 54 techniques to evade detection by security scanners and make reverse engineering more difficult.